Warning system for cracked pipes in autonomous vehicles

Yair Wiseman

Warning system for cracked pipes in autonomous vehicles

Yair Wiseman

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

The looming autonomous vehicles will be driven by the vehicle itself; therefore, the autonomous vehicles will be less inspected because human drivers often listen to the engine and its noises. The passengers in autonomous vehicles are usually bothered with other things and sometimes even sleep, so there will be no effective human inspection on the engine and specifically on the pipe system. This paper suggests an automatic system that warns about cracked pipes before they are out of use.

Original language	English
Title of host publication	Advances of Machine Learning in Clean Energy and the Transportation Industry
Publisher	Nova Science Publishers, Inc.
Pages	261-276
Number of pages	16
ISBN (Electronic)	9781685073039
ISBN (Print)	9781685072117
State	Published - 1 Nov 2021
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2021 Nova Science Publishers, Inc.

Keywords

Autonomous vehicle
Embedded real-time system
Vehicle pipes

Cite this

@inbook{48efea22cc6d4a67b96a3c3ffc455ab7,

title = "Warning system for cracked pipes in autonomous vehicles",

abstract = "The looming autonomous vehicles will be driven by the vehicle itself; therefore, the autonomous vehicles will be less inspected because human drivers often listen to the engine and its noises. The passengers in autonomous vehicles are usually bothered with other things and sometimes even sleep, so there will be no effective human inspection on the engine and specifically on the pipe system. This paper suggests an automatic system that warns about cracked pipes before they are out of use.",

keywords = "Autonomous vehicle, Embedded real-time system, Vehicle pipes",

author = "Yair Wiseman",

note = "Publisher Copyright: {\textcopyright} 2021 Nova Science Publishers, Inc.",

year = "2021",

month = nov,

day = "1",

language = "אנגלית",

isbn = "9781685072117",

pages = "261--276",

booktitle = "Advances of Machine Learning in Clean Energy and the Transportation Industry",

publisher = "Nova Science Publishers, Inc.",

address = "ארצות הברית",

}

TY - CHAP

T1 - Warning system for cracked pipes in autonomous vehicles

AU - Wiseman, Yair

PY - 2021/11/1

Y1 - 2021/11/1

N2 - The looming autonomous vehicles will be driven by the vehicle itself; therefore, the autonomous vehicles will be less inspected because human drivers often listen to the engine and its noises. The passengers in autonomous vehicles are usually bothered with other things and sometimes even sleep, so there will be no effective human inspection on the engine and specifically on the pipe system. This paper suggests an automatic system that warns about cracked pipes before they are out of use.

AB - The looming autonomous vehicles will be driven by the vehicle itself; therefore, the autonomous vehicles will be less inspected because human drivers often listen to the engine and its noises. The passengers in autonomous vehicles are usually bothered with other things and sometimes even sleep, so there will be no effective human inspection on the engine and specifically on the pipe system. This paper suggests an automatic system that warns about cracked pipes before they are out of use.

KW - Autonomous vehicle

KW - Embedded real-time system

KW - Vehicle pipes

UR - http://www.scopus.com/inward/record.url?scp=85141616173&partnerID=8YFLogxK

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.chapter???

AN - SCOPUS:85141616173

SN - 9781685072117

SP - 261

EP - 276

BT - Advances of Machine Learning in Clean Energy and the Transportation Industry

PB - Nova Science Publishers, Inc.

ER -

Warning system for cracked pipes in autonomous vehicles

Abstract

Bibliographical note

Keywords

Other files and links

Fingerprint

Cite this